Academic Chronology

• 2008 – : EECS Department, UC Berkeley (Berkeley, CA)

• 2004 – 2008: College of Engineering, Cornell University (Ithaca, NY) summa cum laude with honors, majoring in Computer Science with a concentration in Linguistics

• 2000 – 2004: Academy for the Advancement of Science and Technology (AAST), Bergen County Academies (Hackensack, NJ)

Awards and Honors

• 2010: NSF Graduate Research Fellowship

• 2008: Cornell Computer Science Prize for Academic Excellence

• 2006: Outstanding Academic Excellence Workshop (AEW) Co-Facilitator Award

Publications

• A Feature-Rich Constituent Context Model for Grammar Induction, Dave Golland, John DeNero, and Jakob Uszkoreit, ACL Short Paper 2012.

  [paper (pdf)]  [talk slides (pdf)]  [bib] 

  @InProceedings{golland-denero-uszkoreit:2012:ACL2012short,
    author    = {Golland, Dave  and  DeNero, John  and  Uszkoreit, Jakob},
    title     = {A Feature-Rich Constituent Context Model for Grammar Induction},
    booktitle = {Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
    month     = {July},
    year      = {2012},
    address   = {Jeju Island, Korea},
    publisher = {Association for Computational Linguistics},
    pages     = {17--22},
    url       = {http://www.aclweb.org/anthology/P12-2004}
  }
  

• A Game-Theoretic Approach to Generating Spatial Descriptions, Dave Golland, Percy Liang, and Dan Klein, EMNLP 2010.

  @InProceedings{golland-liang-klein:2010:EMNLP,
    author    = {Golland, Dave  and  Liang, Percy  and  Klein, Dan},
    title     = {A Game-Theoretic Approach to Generating Spatial Descriptions},
    booktitle = {Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing},
    month     = {October},
    year      = {2010},
    address   = {Cambridge, MA},
    publisher = {Association for Computational Linguistics},
    pages     = {410--419},
    url       = {http://www.aclweb.org/anthology/D10-1040}
  }

  The data comes from 3D models created in Google Sketchup. The models used are "A collection of rooms" by Surya Murali, found in the Google 3D Warehouse.

  Using the ruby sketchup API we extract the positions of the objects in the 3D models. To construct a camera model, we sample 3D points, compute their 2D projections, and then solve for the perspective projection matrix. Here is our script for extracting information from the sketchup models.

  [paper (pdf)]  [talk slides (pdf)]  [bib]  [data]  [code]

Invited Talks

• Nov 8, 2012. "Pragmatics of Spatial Reference" CLSI - Stanford University (Stanford, CA)
• Mar 13, 2012. "Semantics of Spatial Descriptions" Microsoft Research (Mountain View, CA)

Code

• Treevis: A javascript tool to quickly visualize labeled parse trees.

Teaching Experience

• February 2011-Present: Computer Science and Math Tutor at Tutorspree

• Fall 2008: CS188 Graduate Student Instructor

• Spring 2008: CS478 Teaching Assistant

• Fall 2006-Spring 2008: CS100m Academic Excellence Co-facilitator

• Fall 2006: CS312 Consultant

Industry Experience

• Summer 2012: Software Development/Data Science Intern, Palantir Technologies

• Summer 2011: Software Development Intern in Research, Google Translate, Google

• Summer 2008: Software Development Intern, Natural Language Group, Microsoft

• Summer 2007: Software Development Intern, Natural Language Group, Microsoft

• Summer 2006: Software Test Intern, Natural Language Group, Microsoft